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modelling; perform rigorous statistical analysis and ensure reproducible workflows (well‑documented code/analysis) Report and disseminate results (manuscripts, conference talks), contribute to grant writing
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, MONAI) Strong interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not
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. Fridgen’s PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre of Excellence in Research and Innovation, the successful candidate will work on crypto-asset transaction analysis
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by Dr. Peter B. Roenne. The APSIA group has a strong research record on the design, analysis, modelling and implementation of security protocols with classical, post-quantum, and quantum cryptography
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collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as well as computational analysis to uncover biophysical principles that regulate host
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with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development of behavioral paradigms for assessing social learning
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communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems
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Rauers (FSU Jena). Obtaining a PhD in Psychology with a topic within the scope of the research project Preparation, implementation and analysis of an empirical data collection (e.g., development
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such as gathering and processing of patient derived material, analysis of samples using standard and high throughput biomedical methodologies Analyze and interpret data and results, particularly in
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collection and advanced statistical analysis Proven track record of teaching in information systems or related fields Excellent teamwork, leadership, and critical thinking abilities Proven record